Extensions of Fisher's method
Appearance
![]() | This article or section is in a state of significant expansion or restructuring. You are welcome to assist in its construction by editing it as well. If this article or section has not been edited in several days, please remove this template. If you are the editor who added this template and you are actively editing, please be sure to replace this template with {{in use}} during the active editing session. Click on the link for template parameters to use.
This article was last edited by Bobthefish2 (talk | contribs) 13 years ago. (Update timer) |
(Introductory block)
Dependent Statistics
A principle limitation of Fisher's method is its exclusive design to combine independent p-values, which renders it an unreliable technique to combine dependent p-values. To overcome this limitation, a number of methods were developed to extend its utility.
Known Covariance
Brown's Method: Gaussian Approximation
Unknown Covariance
Kost's Method: t Approximation
This article has not been added to any content categories. Please help out by adding categories to it so that it can be listed with similar articles. (August 2011) |